Playing Google's T-rex game with TensorFlowThe goal of this project is to play Google’s offline T-rex Dino game using Reinforcement Learning (RL). The RL algorithm is based on the Deep Q-Learning algorithm [1] and is implemented in TensorFlow (TF), hence the name TF-rex ;)...

MIT built a self-driving car that can navigate unmapped country roadsResearchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system that allows self-driving cars to drive on roads they’ve never been on before without 3D maps. Called MapLite, the system combines simple GPS data that you’d find on Google Maps with a series of sensors that observe the road conditions...

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GluonCV — Deep Learning Toolkit for Computer Vision
Someone once asked me what was the hardest thing to do when developing MXNet. I would not hesitate to say that replicating experimental results from papers is the most difficult part. Using state-of-the-art computer vision models has never been easier! Try out our new Gluon CV toolkit!...

AI and ComputeWe’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period)...

Two-sample t-test and robustnessA two-sample t-test is intended to determine whether there’s evidence that two samples have come from distributions with different means. The test assumes that both samples come from normal distributions...

Seven Strategies for Optimizing Numerical CodePython provides a powerful platform for working with data, but often the most straightforward data analysis can be painfully slow. When used effectively, though, Python can be as fast as even compiled languages like C. This talk presents an overview of how to effectively approach optimization of numerical code in Python, touching on tools like numpy, pandas, scipy, cython, numba, and more...

Jobs

Director of Data Science - Fair Trade Certified - Oakland, CAFair Trade USA's newly formed Data Team works with departments across the organization to collect, manage, analyze and share data about Fair Trade USA’s business and the impact of our work. The organization is committed to being excellent stewards of our data while working quickly to create meaningful data insights that can be used to evaluate the effectiveness of our programs and deliver supply chain insights to our partners. The Director of Data Science will lead a team of 7 data practitioners at Fair Trade USA...